Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
×
The primary objective is to simultaneously minimize additive distortion in both the JPEG domain and the decompressed domain. Firstly, the relation between these ...
This paper proposes an universal Dual-Domain JPEG Additive Distortion (DDJAD) framework, which minimize additive distortion in both JPEG and decompressed ...
Jul 18, 2024 · To improve the steganography security, this paper proposes an universal Dual-Domain JPEG Additive Distortion (DDJAD) framework, which minimize ...
Semantic Scholar extracted view of "Dual-domain joint optimization for universal JPEG steganography" by Xiang Li et al.
Dual-domain joint optimization for universal JPEG steganography. https://doi.org/10.1016/j.jvcir.2024.104151. Journal: Journal of Visual Communication and ...
Article "Dual-domain joint optimization for universal JPEG steganography" Detailed information of the J-GLOBAL is an information service managed by the ...
Dec 9, 2024 · Dual-domain joint optimization for universal JPEG steganography ... steganography security, this paper proposes an universal Dual-Domain JPEG ...
Maximum open-set entropy optimization via uncertainty measure for universal domain adaptation ... Dual-domain joint optimization for universal JPEG steganography.
To improve the steganography security, this paper proposes an universal Dual-Domain JPEG Additive Distortion (DDJAD) framework, which minimize additive ...
Jul 8, 2020 · In this paper, we propose a CNN steganalysis model that uses a joint domain detection mechanism and a nonlinear detection mechanism.